text: // Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //     http://www.apache.org/licenses/LICENSE-2.0
  //
  // Unless required by applicable law or agreed to in writing, software
  // distributed under the License is distributed on an "AS IS" BASIS,
  // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  // See the License for the specific language governing permissions and
  // limitations under the License.
  
  #include <gtest/gtest.h>
  #include "lite/api/paddle_use_kernels.h"
  #include "lite/api/paddle_use_ops.h"
  #include "lite/core/test/arena/framework.h"
  #include "lite/tests/utils/fill_data.h"
  
  namespace paddle {
  namespace lite {
  class ShapeComputeTester : public arena::TestCase {
   protected:
    // common attributes for this op.
    std::string input_ = "Input";
    std::string out_ = "Out";
    DDim dims_;
  
   public:
    ShapeComputeTester(const Place& place, const std::string& alias, DDim dims)
        : TestCase(place, alias), dims_(dims) {}
  
    void RunBaseline(Scope* scope) override {
      const auto* input = scope->FindTensor(input_);
      CHECK(input);
      auto* out = scope->NewTensor(out_);
      CHECK(out);
      int64_t sz = input->dims().size();
      out->Resize(DDim({sz}));
      auto* out_data = out->mutable_data<int>();
      for (size_t i = 0; i < input->dims().size(); ++i) {
        out_data[i] = input->dims()[i];
      }
    }
  
    void PrepareOpDesc(cpp::OpDesc* op_desc) {
      op_desc->SetType("shape");
      op_desc->SetInput("Input", {input_});
      op_desc->SetOutput("Out", {out_});
    }
  
    void PrepareData() override {
      std::vector<float> din(dims_.production());
      fill_data_rand(din.data(), -1.f, 1.f, dims_.production());
      SetCommonTensor(input_, dims_, din.data());
    }
  };
  
  void TestShapeHelper(Place place,
                       float abs_error,
                       std::vector<int64_t> x_dims) {
    std::unique_ptr<arena::TestCase> tester(
        new ShapeComputeTester(place, "def", DDim(x_dims)));
    arena::Arena arena(std::move(tester), place, abs_error);
    arena.TestPrecision();
  }
  
  void test_shape(Place place, float abs_error) {
    TestShapeHelper(place, abs_error, {2, 3, 4, 5});
    TestShapeHelper(place, abs_error, {3, 4, 5});
    TestShapeHelper(place, abs_error, {4, 5});
    TestShapeHelper(place, abs_error, {5});
  }
  
  TEST(shape, precision) {
    Place place;
    float abs_error = 1e-5;
  #if defined(LITE_WITH_NNADAPTER)
    place = TARGET(kNNAdapter);
  #if defined(NNADAPTER_WITH_HUAWEI_ASCEND_NPU)
    abs_error = 1e-2;
  #else
    return;
  #endif
  #elif defined(LITE_WITH_OPENCL)
    place = Place(TARGET(kOpenCL), PRECISION(kAny), DATALAYOUT(kAny));
  #elif defined(LITE_WITH_NPU)
    place = TARGET(kNPU);
    abs_error = 1e-2;
  #elif defined(LITE_WITH_ARM) || defined(LITE_WITH_X86)
    place = TARGET(kHost);
  #else
    return;
  #endif
  
    test_shape(place, abs_error);
  }
  
  }  // namespace lite
  }  // namespace paddle
  